Search results for "scar segmentation"

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Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks

2019

Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is the gold standard technique for myocardial viability assessment. Although the technique accurately reflects the damaged tissue, there is no clinical standard for quantifying myocardial infarction (MI), demanding most algorithms to be expert dependent. Objectives and Methods: In this work a new automatic method for MI quantification from LGE-MRI is proposed. Our novel segmentation approach is devised for accurately detecting not only hyper-enhanced lesions, but also microvascular-obstructed areas. Moreover, it includes a myocardial disease detection step which extends the algorithm for working under healthy scans.…

FOS: Computer and information sciencesscar segmentationlate gadolinium enhancementIndustrial engineering. Management engineeringComputer Vision and Pattern Recognition (cs.CV)Electronic computers. Computer science[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputer Science - Computer Vision and Pattern Recognition[INFO.INFO-IM]Computer Science [cs]/Medical Imagingdeep learningQA75.5-76.95T55.4-60.8cardiac magnetic resonanceAlgorithms
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